Abstract
The amounts of video streaming are transmitting to cause network delay in transmission by limited network bandwidth. Thus, the high video quality retrieval in client is still a challenge problem. The motivation of this paper is to reduce the total computing time in reconstruction and raise reconstruction video quality. In this paper, we propose hierarchical groups with low complexity block compensation method using eigenvalues and local variance statistics in each group of picture (GOP), which is regarded as the feature parameters of each video frame between low-resolution and high-resolution sequences. The index selection mechanism is then applied to those blocks to compensate for blocks that have variances larger than a threshold to reduce the transmission amounts. The results of index numbers from index selection are regarded as reconstruction information. Simulation results show the percentage of non-compensation blocks are nearly 36% saving for Foreman and 48% saving for News, respectively.
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Lu, TT., Tsai, TH., Wu, JY. (2011). Hierarchical Groups with Low Complexity Block Compensation for Reconstruction Video Sequences. In: Mohamad Zain, J., Wan Mohd, W.M.b., El-Qawasmeh, E. (eds) Software Engineering and Computer Systems. ICSECS 2011. Communications in Computer and Information Science, vol 179. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22170-5_53
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DOI: https://doi.org/10.1007/978-3-642-22170-5_53
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